Nina Liedtke
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Dr. Nina Liedtke

 

 

Current position:

Training as a psychotherapist

Completed project

Learning from quantified episodic prediction errors: Individual biases in gist revision

Memories do not only carry information about the past. Instead, they also help us predict future events and generate expectations about what will happen next in a given situation. When a memory is retrieved in order to generate predictions, it enters a state of malleability and can be modified if the prediction was wrong (prediction error; PE). We are interested in the mechanism of memory modification in response to PEs and aim to investigate the nature of PEs that are capable of changing memories.
Complementary to a prior project, in which the quality of PEs was manipulated, we will vary the strength of PEs quantitatively. Furthermore, we will make use of social interactions as highly naturalistic stimuli. A paradigm encompassing several experimental sessions will be employed, in which the brain activity of participants will be measured both during encoding and during retrieval of episodes using fMRI.

 

 

Publications

Pronoza, J., Liedtke, N., Boeltzig, M., Schubotz, R.I., Cheng, S. (2026). Competition Between Memory Updating and Differentiation Emerges from Intrinsic Network Dynamics. bioRxiv 2025.10.31.685486. https://doi.org/10.1101/2025.10.31.685486

Liedtke, N., Boeltzig, M., Siestrup, S., & Schubotz, R. I. (2025). Shaping Memory from the Start: Initial Prediction Errors during First Encoding. NeuroImage, 121660. doi: https://doi.org/10.1016/j.neuroimage.2025.121660

Boeltzig, M., Liedtke, N., Siestrup, S., Mecklenbrauck, F., Wurm, M. F., Bramão, I., & Schubotz, R. I. (2025). The benefit of being wrong: How prediction error size guides the reshaping of episodic memories. NeuroImage, Article 121375. https://doi.org/10.1016/j.neuroimage.2025.121375

Liedtke, N., Boeltzig, M., Mecklenbrauck, F., Siestrup, S., Schubotz, R.I. (2025). Finding the sweet spot of memory modification: An fMRI study on episodic prediction error strength and type. NeuroImage, 311, 121194. https://doi.org/10.1016/j.neuroimage.2025.121194

Boeltzig, M, Liedtke, N., Schubotz, R.I. (2025). Prediction errors lead to updating of memories for conversations. Memory, 33(1), 73-83. https://doi.org/10.1080/09658211.2024.2404498

Conference Contributions

Liedtke, N., Boeltzig, M. & Schubotz, R. I. (2024). Quantifying episodic prediction errors: an fMRI study on memory stability and new learning. Poster auf dem Annual Meeting of the Organization for Human Brain Mapping (OHBM). Seoul, Korea.

Tanaka, E., Kudo, J., Liedtke, N., Cai, C., Nihashi, T., Sakurai, K., Arahata, Y., Takeda, A., Kato, T., Nakamura, A. & BATON study group (2024). Changes in brain magnetic fields related to face recognition according with the progression of Alzheimer’s disease. Poster at the 39th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society. Chiba, Japan. 

Liedtke, N., Boeltzig, M., Schubotz, R. I. (2023). Learning from quantified episodic prediction errors: Individual biases in gist revision. Poster at Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy. Bochum, Germany.

Boeltzig, M., Liedtke, N., Schubotz, R. I. (2023). Learning from quantified episodic prediction errors: Individual biases in gist revision. Poster at Berlin-Bochum Memory Symposium. Berlin, Germany.

 

Grants & Scholarships

- Stipendium der Nippon Foundation für einen zweimonatigen Forschungsaufenthalt am National Center for Geriatrics and Gerontology in Japan (Februar/März 2024)

- SAIL Mobility Fund der Universität Münster für den Besuch der OHBM Konferenz in Australien (Juni 2025)